Information Retrieval in Virtual Universities

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Author(s): Juha Puustjarvi (Helsinki University of Technology, Finland)and Pa¨ivi Poyry (Helsinki University of Technology, Finland)
Copyright: 2008
Pages: 12
Source title: Virtual Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Jerzy Kisielnicki (Warsaw University, Poland)
DOI: 10.4018/978-1-59904-955-7.ch033

Keywords: Artificial Intelligence / Engineering Science Reference / Media & Communications / Virtual Communities & Virtual Reality

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Abstract

Information retrieval in the context of virtual universities deals with the representation, organization and access to learning objects. The representation and organization of learning objects should provide the learner with an easy access to the learning objects. In this paper, we give an overview of the ONES system and analyze the relevance of two information retrieval models for virtual universities. We argue that keywords-based search (i.e., the Boolean model), though well suited for Web searches, is overly coarse for virtual universities. Instead, the vector model, on which our implemented search engine also is based, seems to be more appropriate, as it provides similarity measure (i.e., the learning object having the best match is presented first). We also compare the performance of four algorithms for computing the similarities (matching).

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